CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression
Li, Q. L.; Song, Y.; Hou, Z. G.; Z. G. Hou
Source PublicationNEURAL PROCESSING LETTERS
2015
Issue3, SIPages:371-388
AbstractIn this paper, a new technique for predicting human lower limb periodic motions
from multi-channel surface ElectroMyoGram (sEMG) was proposed on the basis of leastsquares support vector regression (LS-SVR). The sEMG signals were sampled from seven
human lower limb muscles. Two channels sEMG were selected and mapped to muscle activation levels for angles estimation based on cross-correlation analysis. To deal with the time
delay introduced by low-pass filtering of raw sEMG, a
k-order dynamic model was derived
to represent the dynamic relationship between the joint angles and muscle activation levels.
The dynamic model was built by data driven LS-SVR with radial basis function kernel. The
inputs of the LS-SVR are muscle activation levels, and the outputs are joint angles of the hip
and knee. In experiments, 48 sEMG-angle datasets sampled from six healthy people were
utilized to verify the effectiveness of the proposed method. Result shows that the human
lower limb joint angles can be well estimated in different motion conditions.

KeywordSemg Ls-svr Motion Estimation Neural Network
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19946
Collection复杂系统管理与控制国家重点实验室_先进机器人
Corresponding AuthorZ. G. Hou
Recommended Citation
GB/T 7714
Li, Q. L.,Song, Y.,Hou, Z. G.,et al. Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression[J]. NEURAL PROCESSING LETTERS,2015(3, SI):371-388.
APA Li, Q. L.,Song, Y.,Hou, Z. G.,&Z. G. Hou.(2015).Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression.NEURAL PROCESSING LETTERS(3, SI),371-388.
MLA Li, Q. L.,et al."Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression".NEURAL PROCESSING LETTERS .3, SI(2015):371-388.
Files in This Item: Download All
File Name/Size DocType Version Access License
26{Estimation of Low(3226KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Q. L.]'s Articles
[Song, Y.]'s Articles
[Hou, Z. G.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Q. L.]'s Articles
[Song, Y.]'s Articles
[Hou, Z. G.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Q. L.]'s Articles
[Song, Y.]'s Articles
[Hou, Z. G.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 26{Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression}.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.